生成式AI模型是否会概率性地“复制”训练数据？这篇论文从理论上剖析了模型记忆与版权边界。
Article URL: https://download.ssrn.com/2026/7/6/7067878.pdf?response-content-disposition=inline&X-Amz-Security-Token=IQoJb3JpZ2luX2VjELH%2F%2F%2F%…
通过图纠正机制为LLM智能体建立连贯空间记忆，显著提升导航与推理能力
arXiv:2510.04195v2 Announce Type: replace Abstract: Given a map description through global traversal navigation instructions, an LLM can often infer t…
基于图结构的会话记忆框架，解决LLM长上下文管理难题，提供更高效的长程对话记忆。
arXiv:2606.06337v1 Announce Type: new Abstract: Large language model (LLM) deployments for long-horizon tasks face a fundamental constraint: context w…
一篇针对LLM训练中“数据洗白”问题的检测方案，通过分析模型对专有样本的预测差异来识别数据是否被非法使用
arXiv:2604.01904v2 Announce Type: replace-cross Abstract: Data rights owners can detect unauthorized data use in large language model (LLM) training b…